Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11198)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: DS 2018.
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Table of contents (30 papers)
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Classification
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Meta-Learning
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Reinforcement Learning
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Streams and Time Series
Other volumes
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Discovery Science
Keywords
About this book
This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018.
The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Discovery Science
Book Subtitle: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings
Editors: Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos, Michelangelo Ceci
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-01771-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-01770-5Published: 07 October 2018
eBook ISBN: 978-3-030-01771-2Published: 22 October 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXI, 482
Number of Illustrations: 137 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Computer Appl. in Social and Behavioral Sciences